Discover how multifrequency channel decompositions and wavelets unlock faster, more accurate image processing.
This edition introduces the ideas behind multiresolution analysis and explains how images can be analyzed as a set of frequency channels. It connects psychophysics and physiology with practical tools like the wavelet transform, showing why independent frequency channels help explain both human vision and computer vision tasks.
Readers will see how a pyramidal multiresolution view compares with a wavelet model, and how translation-invariant representations support pattern recognition. The book also covers how zero-crossings and energy in wavelet subbands contribute to stable, edge-aware image descriptions.
- Learn the relationship between human visual processing and mathematical models of image decomposition
- Understand multiresolution transforms and their discrete implementations in image coding
- Explore the role of orientation-tuned wavelets and quadrature mirror filters
- See how translation properties affect pattern recognition and edge detection
Ideal for readers seeking a clear, theory-grounded view of how multiresolution and wavelet methods aid image understanding.
nonfiction